Yearly Traffic Safety Analysis

11,232 CRASHES IN
OHIO, OH
2023

All metrics benchmarked against2022

In Montgomery County, there were 11,232 total vehicle crashes in 2023, a 6.6% decrease from the 12,029 crashes recorded in 2022. This overall decline was also reflected in total fatalities, which fell from 71 to 67, and total injuries, which decreased slightly from 5,004 to 4,964. The most notable year-over-year shift was the overall reduction in crash volume across most categories.

11,232

▼ -6.6%was 12,029

Total Crash Events

▼ -5.6%was 71

Persons Killed

4,964

▼ -0.8%was 5,004

Persons Injured

2,509

▼ -9.6%was 2,776

Hit-and-Run Crashes

Note: "Persons Killed" (67) counts individual fatalities across all crash events. "Fatal" in the severity table below (61) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend in Montgomery County shows a year-over-year decrease in traffic incidents. Total crashes fell by 797, from 12,029 in 2022 to 11,232 in 2023. This downward trend extended to crash outcomes, with 4 fewer fatalities and 40 fewer injuries compared to the prior year.

2,509

Hit-and-Run Crashes — 2023

▼ -9.6% vs prior (2,776)

Hit-and-run incidents decreased in both count and rate from 2022 to 2023. The number of hit-and-run crashes fell from 2,776 to 2,509. As a percentage of all crashes, the hit-and-run rate also trended down, dropping from 23.1% in 2022 to 22.3% in 2023.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 14↓-28.6%

Motorists Killed

Prior: 57→0.0%

166

Pedestrians Injured

Prior: 123↑35.0%

4,798

Motorists Injured

Prior: 4,881↓-1.7%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Temporal crash patterns remained largely consistent year-over-year. Friday was the peak day for crashes in both 2023 (1,889 crashes) and 2022 (2,034 crashes). However, the daily peak hour for crashes shifted slightly earlier, from 5 p.m. in 2022 (1,069 crashes) to 4 p.m. in 2023 (942 crashes), though the afternoon commute period remained the most frequent time for incidents in both years.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes showed a mixed profile when comparing 2023 to 2022. While the number of fatal crashes decreased from 64 to 61, the proportion of crashes involving minor injuries increased from 15.3% to 17.3% of all incidents. Conversely, the share of crashes resulting in no injuries decreased from 71.3% in 2022 to 69.2% in 2023. The number of serious injury crashes remained unchanged at 290 for both years.

Severity is per crash event (most severe injury). 61 fatal crash events resulted in 67 persons killed.

Outcome by Severity (Crash Events)

Fatal61fatal crashes0.5%

↓-4.7%prior 64

Serious Injury290serious injury crashes2.6%

→0.0%prior 290

Minor Injury1,940minor injury crashes17.3%

↑5.3%prior 1,843

Possible Injury1,163possible injury crashes10.4%

↓-7.2%prior 1,253

No Injury7,778no injury crashes69.2%

↓-9.3%prior 8,579

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crash conditions in 2023 were broadly similar to 2022, with most incidents occurring in daylight (65.8% vs. 64.7%) and on dry roads (79.0% vs. 77.4%). There was a notable decrease in crashes occurring in snow, which fell from 394 incidents in 2022 to 179 in 2023. Crashes on wet roads remained numerically stable (2,113 in 2023 vs. 2,082 in 2022) but constituted a slightly larger proportion of total crashes, rising from 17.3% to 18.8%.

Weather

Clear7,248 (64.5%)

↓-5.7%prior 7,685

Cloudy2,285 (20.3%)

↓-9.7%prior 2,531

Rain1,371 (12.2%)

↑12.8%prior 1,215

Snow179 (1.6%)

↓-54.6%prior 394

Other/Unknown95 (0.8%)

↓-16.7%prior 114

Fog; Smog; Smoke33 (0.3%)

↑57.1%prior 21

Freezing Rain or Freezing Drizzle11 (0.1%)

↓-60.7%prior 28

Sleet; Hail8 (0.1%)

↓-66.7%prior 24

Severe Crosswinds2 (0.0%)

↓-80.0%prior 10

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight7,387 (65.8%)

↓-5.1%prior 7,782

Dark - Lighted Roadway2,343 (20.9%)

↓-10.0%prior 2,602

Dark - Roadway Not Lighted704 (6.3%)

↓-13.3%prior 812

Dawn/Dusk630 (5.6%)

↓-2.8%prior 648

Other/Unknown91 (0.8%)

↓-24.8%prior 121

Dark - Unknown Roadway Lighting77 (0.7%)

↑20.3%prior 64

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry8,875 (79.0%)

↓-4.7%prior 9,310

Wet2,113 (18.8%)

↑1.5%prior 2,082

Snow90 (0.8%)

↓-74.3%prior 350

Ice78 (0.7%)

↓-52.1%prior 163

Other/Unknown66 (0.6%)

↓-22.4%prior 85

Sand; Mud; Dirt; Oil; Gravel4 (0.0%)

Slush3 (0.0%)

↓-89.7%prior 29

Water (Standing; Moving)3 (0.0%)

↓-62.5%prior 8

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The types of vehicles involved in crashes remained consistent between 2022 and 2023. The top five vehicle makes involved in crashes were identical in both years: Chevrolet, Ford, Honda, Toyota, and Dodge, with counts for each decreasing in line with the overall trend. The age distribution of persons involved in crashes also showed little change, with the 26-34 age group representing the largest share in both 2023 (16.4%) and 2022 (16.5%).

Top Vehicle Makes (21,671 vehicles)

CHEVROLET3,821 (17.6%)

↓-6.5%prior 4,085

FORD2,598 (12%)

↓-6.3%prior 2,772

HONDA1,800 (8.3%)

↓-2.4%prior 1,844

TOYOTA1,603 (7.4%)

↓-6.1%prior 1,707

DODGE1,074 (5%)

↓-11.6%prior 1,215

NISSAN1,016 (4.7%)

↓-14.6%prior 1,190

HYUNDAI867 (4%)

↓-0.2%prior 869

KIA765 (3.5%)

↓-4.6%prior 802

JEEP719 (3.3%)

↑2.7%prior 700

GMC628 (2.9%)

↑0.6%prior 624

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

2,225 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (25,473 persons with recorded sex)

Male13,760 (54.0%)

↓-4.8%prior 14,458

Female11,713 (46.0%)

↓-7.5%prior 12,669

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

Access method: Csv Open Data API (SoQL queries)
Data format: Structured JSON via REST API
Record types queried: Crash events, person records, and vehicle unit records
Date filter applied: 2023-01-01 through 2023-12-31
Report generated: July 5, 2026

Data Coverage

Reporting period: 2023-01-01 through 2023-12-31 (365 days)
Geographic scope: ohio, OH
Total crash records analyzed: 11,232
Total persons involved: 27,178
Total vehicles involved: 21,671

Analytical Methodology

Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "ohio, OH Crash Intelligence Report: 2023." Published July 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2023-annual-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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11,232 CRASHES INOHIO, OH2023